Comparison of Priority Service with Multilevel Demand Subscription

Céline Gérard, Daniel Ávila, Yuting Mou, Anthony Papavasiliou and Philippe Chevalier
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Céline Gérard: Université catholique de Louvain, LIDAM/ISBA, Belgium
Daniel Ávila: Université catholique de Louvain, LIDAM/CORE, Belgium
Yuting Mou: Université catholique de Louvain, LIDAM/CORE, Belgium
Anthony Papavasiliou: Université catholique de Louvain, LIDAM/CORE, Belgium

No 3205, LIDAM Reprints CORE from Université catholique de Louvain, Center for Operations Research and Econometrics (CORE)

Abstract: Priority service and multilevel demand subscription have been proposed as two alternative methods for the mobilization of residential demand response. Whereas priority service relies on the differentiation of electricity service according to reliability, multilevel demand subscription further differentiates electricity service according to duration. Despite its increased complexity, multilevel demand subscription promises increased operational efficiency, as it permits a finer differentiation of consumer classes by the utility. It also allows households to reduce their electricity bills relative to priority service. This paper proposes a framework for quantifying these effects. We design a modeling approach for evaluating the performance of these different aggregator service offerings in a system with utility-scale renewable supply, residential renewable supply, and residential storage. We compare priority service to multilevel demand subscription, and discuss the implications of these different residential demand response options on operational efficiency and consumer expenditures for electricity service on a realistic model of the Belgian power market. We show how the comparison between the two schemes is affected by the adoption of a different time resolution in a detailed case study.

Keywords: Color; Renewable energy sources; Reliability; Pricing; Uncertainty; Costs; Demand response (search for similar items in EconPapers)
Pages: 12
Date: 2022-02-23
Note: In: IEEE Transactions on Smart Grid, 2022
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Persistent link: https://EconPapers.repec.org/RePEc:cor:louvrp:3205

DOI: 10.1109/TSG.2022.3153186

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